Cherkashchyna-Akademiya vs Nikopol: result 2-0 and analysis
Druha Liga - Group BGroup B - 4Kick-off on September 26, 2020 at 12:00 PM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
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What was the result of Cherkashchyna-Akademiya vs Nikopol?
Cherkashchyna-Akademiya won 2-0 on September 26, 2020.
Goalscorers
- 6′Farid SuleymanCherkashchyna-Akademiya
- 17′Vasyl AdamenkoCherkashchyna-Akademiya (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cherkashchyna-Akademiya have 1 wins, 3 draws and 11 defeats; Nikopol have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Real Pharm(away) | 2-0 | Druha Liga - Group B |
| Sep 12, 2020 | MSK Dnipro Cherkasy(home) | 0-0 | Druha Liga - Group B |
| Aug 26, 2020 | Kryvbas KR(away) | 2-4 | Cup |
| Aug 20, 2020 | Veres Rivne(home) | 1-1 | Persha Liga |
| Aug 16, 2020 | Veres Rivne(away) | 0-2 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Metal Kharkiv(home) | 0-2 | Druha Liga - Group B |
| Sep 11, 2020 | Kryvbas KR(away) | 1-6 | Druha Liga - Group B |
| Sep 5, 2020 | Metalurh Zaporizhya(home) | 0-3 | Druha Liga - Group B |
| Aug 29, 2020 | Krystal(home) | 1-3 | Cup |
| Nov 16, 2019 | Krystal(home) | 1-2 | Druha Liga - Group B |
How many goals should we expect?
Cherkashchyna-Akademiya score 0.8 and concede 2.5 goals per match over their last 15; Nikopol score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherkashchyna-Akademiya | 0.8 | 2.5 | 2 | 8/15 | 8/15 |
| Nikopol | 0.9 | 1.6 | 6 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Nikopol | 20 | 5 | 5 | 10 | 22 | 42 | 20 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy